unsupervised-learning

100-Days-Of-ML-Code中文版

VIP cheatsheets for Stanford's CS 229 Machine Learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Anomaly detection related books, papers, videos, and toolboxes

A library of extension and helper modules for Python's data analysis and machine learning libraries.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

A curated list of pretrained sentence and word embedding models

A curated list of community detection research papers with implementations.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Unsupervised Learning for Image Registration

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Composable GAN framework with api and user interface

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

A comprehensive list of awesome contrastive self-supervised learning papers.

an open-source implementation of sequence-to-sequence based speech processing engine